24 citations · 31 across the 8 of their papers we have counts for
3 papers · 1 filter
Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
Toni Greif, Louis Bouvier, Christoph M. Flath +3
We introduce a combinatorial optimization-enriched machine learning pipeline and a novel learning paradigm to solve inventory routing problems with stochastic demand and dynamic in…
Recent Advances in Vehicle Routing with Stochastic Demands: Bayesian Learning for Correlated Demands and Elementary Branch-Price-and-Cut
Alexandre M. Florio, Michel Gendreau, Richard F. Hartl +2
We consider the vehicle routing problem with stochastic demands (VRPSD), a stochastic variant of the well-known VRP in which demands are only revealed upon arrival of the vehicle a…
Workload Equity in Multi-Period Vehicle Routing Problems
Najmeh Nekooghadirli, Michel Gendreau, Jean-Yves Potvin +1
An equitable distribution of workload is essential when deploying vehicle routing solutions in practice. For this reason, previous studies have formulated vehicle routing problems…